rgmm: Generates dataset from Gaussian Mixture Model

In KSD: Goodness-of-Fit Tests using Kernelized Stein Discrepancy

Description

Generates dataset from Gaussian Mixture Model

Usage

rgmm(model = NULL, n = 100)

Arguments

model	: Gaussian Mixture Model defined by gmm()
n	: number of samples desired

Value

data (n by d): Random dataset generated from given the Gaussian Mixture Model

Note

Requires library mvtnorm

Examples

#Generate 100 samples from default gaussian mixture model
model <- gmm()
X <- rgmm(model)

#Generate 300 samples from 3-d gaussian mixture model
model <- gmm(d=3)
X <- rgmm(model,n=300)

Example output

KSD documentation built on Jan. 13, 2021, 8:39 a.m.